The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-11-28"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "62244181 (up from 61645535 yesterday: 0.97 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1452410 (up from 1442664 yesterday: 0.68 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 12343793

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.33



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 13244417 155596 1.19 3316147 266047 1189 0.45 2.01
India 9392919 41810 0.45 885165 136696 496 0.36 1.46
Brazil 6290272 51922 0.83 636711 172561 587 0.34 2.74
France 2260789 12580 0.56 551016 52212 213 0.41 2.31
Russia 2223500 26809 1.22 483328 38676 501 1.31 1.74
Spain 1628208 0 0.00 299376 44668 0 0.00 2.74
United Kingdom 1609141 15891 1.00 434371 58127 479 0.83 3.61
Italy 1564532 26315 1.71 662042 54363 686 1.28 3.47
Argentina 1413375 6098 0.43 176524 38322 106 0.28 2.71
Colombia 1299613 9103 0.71 163166 36401 187 0.52 2.80
Mexico 1101403 22809 2.11 139465 105459 1217 1.17 9.57
Germany 1052494 13845 1.33 384380 16181 170 1.06 1.54
Poland 973593 15177 1.58 451953 16746 599 3.71 1.72
Peru 960368 4021 0.42 42865 35879 94 0.26 3.74
Iran 935799 13402 1.45 262549 47486 391 0.83 5.07
South Africa 785139 3198 0.41 49233 21439 61 0.29 2.73
Ukraine 728834 16585 2.33 264236 12485 193 1.57 1.71
Turkey 578347 30103 5.49 186608 13373 182 1.38 2.31
Belgium 574448 3619 0.63 80280 16461 122 0.75 2.87
Chile 548941 1698 0.31 28964 15322 44 0.29 2.79
Iraq 548821 1606 0.29 52802 12200 33 0.27 2.22
Indonesia 527999 5418 1.04 94163 16646 125 0.76 3.15
Netherlands 521639 4594 0.89 110532 9403 60 0.64 1.80
Czechia 518649 2665 0.52 107429 8054 87 1.09 1.55
Romania 465982 8134 1.78 168983 11045 161 1.48 2.37
Bangladesh 460619 1908 0.42 41855 6580 36 0.55 1.43
Philippines 427797 1879 0.44 33836 8333 78 0.94 1.95
Pakistan 395185 2829 0.72 51996 7985 43 0.54 2.02
Canada 368279 5675 1.57 105058 11993 77 0.65 3.26
Saudi Arabia 356911 220 0.06 6682 5870 13 0.22 1.64
Morocco 349688 4412 1.28 97503 5739 50 0.88 1.64
Israel 334789 987 0.30 15840 2854 15 0.53 0.85
Switzerland 318290 0 0.00 106377 4621 50 1.09 1.45
Portugal 290706 4868 1.70 117166 4363 87 2.03 1.50
Austria 275661 4669 1.72 128441 3018 132 4.57 1.09
Sweden 243129 0 0.00 96668 6681 0 0.00 2.75
Nepal 230723 1380 0.60 39087 1454 19 1.32 0.63
Jordan 210709 3108 1.50 105907 2626 56 2.18 1.25
Hungary 204708 6268 3.16 99765 4516 152 3.48 2.21
Ecuador 190909 1375 0.73 17423 13371 13 0.10 7.00
United Arab Emirates 166502 1252 0.76 25470 569 2 0.35 0.34
Panama 163453 1709 1.06 24947 3039 9 0.30 1.86
Serbia 163035 7041 4.51 102400 1484 61 4.29 0.91
Japan 145457 2679 1.88 38018 2042 14 0.69 1.40
Bolivia 144592 98 0.07 2165 8949 6 0.07 6.19
Dominican Republic 142653 876 0.62 13008 2328 4 0.17 1.63
Kuwait 142195 319 0.22 10990 875 1 0.11 0.62
Bulgaria 141747 1792 1.28 67262 3749 69 1.88 2.64
Qatar 138477 227 0.16 4464 237 0 0.00 0.17
Costa Rica 137093 0 0.00 20730 1690 0 0.00 1.23
Armenia 133594 1248 0.94 29345 2121 31 1.48 1.59
Belarus 133324 1691 1.28 28041 1143 7 0.62 0.86
Kazakhstan 130865 826 0.64 14703 1990 0 0.00 1.52
Georgia 127942 4472 3.62 73090 1195 34 2.93 0.93
Lebanon 125678 1696 1.37 32581 991 11 1.12 0.79
Croatia 123693 3987 3.33 58989 1655 55 3.44 1.34
Oman 122579 0 0.00 5412 1391 0 0.00 1.13
Guatemala 121798 666 0.55 10748 4161 20 0.48 3.42
Egypt 115183 351 0.31 6221 6621 13 0.20 5.75
Azerbaijan 114025 4212 3.84 50277 1323 32 2.48 1.16
Ethiopia 108930 492 0.45 9729 1695 9 0.53 1.56
Honduras 107513 379 0.35 7472 2905 6 0.21 2.70
Moldova 105852 1712 1.64 24177 2269 19 0.84 2.14
Slovakia 104632 1526 1.48 30965 798 27 3.50 0.76
Greece 103034 1747 1.72 48225 2223 121 5.76 2.16
Venezuela 101760 236 0.23 7062 892 4 0.45 0.88

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Texas 1213577 6334 0.52 216152 21788 95 0.44 1.80 41853.43 751.42 1 in 24
California 1200624 15048 1.27 231262 19116 27 0.14 1.59 30386.14 483.80 1 in 33
Florida 985297 6277 0.64 148220 18442 79 0.43 1.87 45875.27 858.66 1 in 22
Illinois 712936 7873 1.12 234958 12838 153 1.21 1.80 56261.53 1013.11 1 in 18
New York 634438 6063 0.96 108830 34514 37 0.11 5.44 32612.95 1774.17 1 in 31
Georgia 467564 3038 0.65 62527 9424 44 0.47 2.02 44037.43 887.60 1 in 23
Ohio 406703 6895 1.72 160976 6378 32 0.50 1.57 34793.35 545.64 1 in 29
Wisconsin 404999 5473 1.37 127496 3464 30 0.87 0.86 69558.37 594.94 1 in 14
Michigan 378152 8351 2.26 149079 9467 110 1.18 2.50 37864.97 947.95 1 in 26
Tennessee 363466 6750 1.89 85251 4541 15 0.33 1.25 53191.39 664.55 1 in 19
North Carolina 357958 3444 0.97 66713 5219 9 0.17 1.46 34129.97 497.61 1 in 29
Pennsylvania 355945 6707 1.92 123452 10234 39 0.38 2.88 27803.88 799.41 1 in 36
New Jersey 329553 3080 0.94 76971 16965 23 0.14 5.15 37102.67 1910.00 1 in 27
Indiana 329008 4471 1.38 123286 5663 69 1.23 1.72 48870.66 841.18 1 in 20
Arizona 322774 4136 1.30 65390 6624 36 0.55 2.05 42387.20 869.87 1 in 24
Minnesota 304023 9022 3.06 129069 3580 45 1.27 1.18 53908.30 634.79 1 in 19
Missouri 299095 2430 0.82 90154 3844 8 0.21 1.29 48732.95 626.32 1 in 21
Alabama 244993 2119 0.87 41475 3572 0 0.00 1.46 49966.09 728.51 1 in 20
Virginia 233617 3173 1.38 42744 4054 10 0.25 1.74 27369.98 474.96 1 in 37
Louisiana 230602 0 0.00 43907 6391 0 0.00 2.77 49604.69 1374.77 1 in 20
Iowa 227179 2123 0.94 76925 2375 15 0.64 1.05 72004.42 752.76 1 in 14
Colorado 225283 4330 1.96 97316 2983 6 0.20 1.32 39120.22 518.00 1 in 26
Massachusetts 222469 3217 1.47 52893 10676 41 0.39 4.80 32012.22 1536.22 1 in 31
South Carolina 214911 1791 0.84 30169 4346 0 0.00 2.02 41740.71 844.09 1 in 24
Maryland 194448 1590 0.82 41533 4602 33 0.72 2.37 32163.13 761.20 1 in 31
Oklahoma 193824 6257 3.34 62073 1717 13 0.76 0.89 48982.92 433.92 1 in 20
Utah 192087 2043 1.08 61852 863 14 1.65 0.45 59915.63 269.19 1 in 17
Kentucky 174182 2427 1.41 54521 1885 14 0.75 1.08 38987.19 421.92 1 in 26
Washington 160634 2467 1.56 44623 2703 0 0.00 1.68 21094.72 354.96 1 in 47
Kansas 155500 89 0.06 55728 1529 0 0.00 0.98 53375.64 524.83 1 in 19
Arkansas 155026 1349 0.88 34198 2449 13 0.53 1.58 51370.11 811.51 1 in 19
Mississippi 149940 1553 1.05 24055 3779 10 0.27 2.52 50380.54 1269.76 1 in 20
Nevada 149229 2912 1.99 40483 2119 24 1.15 1.42 48448.52 687.95 1 in 21
Nebraska 125323 1257 1.01 42928 989 5 0.51 0.79 64786.23 511.27 1 in 15
Connecticut 112581 0 0.00 34456 4961 0 0.00 4.41 31576.98 1391.47 1 in 32
Idaho 99660 1160 1.18 27348 913 4 0.44 0.92 55611.82 509.47 1 in 18
New Mexico 93982 2130 2.32 40311 1527 23 1.53 1.62 44821.01 728.24 1 in 22
South Dakota 79099 819 1.05 25123 942 54 6.08 1.19 89411.85 1064.82 1 in 11
North Dakota 77935 703 0.91 24731 921 13 1.43 1.18 102268.58 1208.56 1 in 10
Oregon 72506 1674 2.36 22919 896 11 1.24 1.24 17190.74 212.44 1 in 58
Montana 60845 1049 1.75 21897 669 12 1.83 1.10 56929.50 625.95 1 in 18
Rhode Island 53954 0 0.00 17574 1346 0 0.00 2.49 50930.70 1270.58 1 in 20
Puerto Rico 51581 903 1.78 -19951 1083 7 0.65 2.10 16150.89 339.11 1 in 62
West Virginia 45845 799 1.77 18236 718 6 0.84 1.57 25652.62 401.76 1 in 39
Delaware 34670 500 1.46 8412 763 0 0.00 2.20 35604.11 783.56 1 in 28
Wyoming 31928 155 0.49 15331 215 0 0.00 0.67 55166.31 371.48 1 in 18
Alaska 31444 668 2.17 12138 121 2 1.68 0.38 42983.00 165.40 1 in 23
District of Columbia 21038 101 0.48 3147 678 1 0.15 3.22 29809.46 960.68 1 in 34
New Hampshire 20025 702 3.63 7784 523 6 1.16 2.61 14727.39 384.64 1 in 68
Hawaii 18082 76 0.42 2263 240 0 0.00 1.33 12770.93 169.51 1 in 78
Maine 11288 23 0.20 3688 191 1 0.53 1.69 8397.48 142.09 1 in 119
Vermont 4033 28 0.70 1686 67 0 0.00 1.66 6463.25 107.37 1 in 155

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 Texas 10636849 1213577 11.41 2001859 216152 10.80 366840.0
2 California 23573182 1200624 5.09 4008031 231262 5.77 596604.8
3 Florida 12271258 985297 8.03 1817608 148220 8.15 571347.8
4 Illinois 10368278 712936 6.88 2054731 234958 11.43 818215.3
5 New York 19115204 634438 3.32 3596032 108830 3.03 982606.9
6 Georgia 4289024 467564 10.90 573754 62527 10.90 403960.9
7 Ohio 6028709 406703 6.75 1219801 160976 13.20 515754.8
8 Wisconsin 4373089 404999 9.26 833014 127496 15.31 751075.8
9 Michigan 6574441 378152 5.75 1360480 149079 10.96 658309.3
10 Tennessee 4470321 363466 8.13 633704 85251 13.45 654208.6
11 North Carolina 5244854 357958 6.82 920698 66713 7.25 500077.4
12 Pennsylvania 3156131 355945 11.28 502025 123452 24.59 246534.4
13 New Jersey 5943584 329553 5.54 979954 76971 7.85 669157.5
14 Indiana 4183401 329008 7.86 1015883 123286 12.14 621400.0
15 Arizona 2217884 322774 14.55 359049 65390 18.21 291256.1
16 Minnesota 4027255 304023 7.55 991861 129069 13.01 714098.9
17 Missouri 3042148 299095 9.83 369860 90154 24.38 495671.5
18 Alabama 1573902 244993 15.57 177534 41475 23.36 320995.8
19 Virginia 3295208 233617 7.09 528855 42744 8.08 386058.3
20 Louisiana 3378743 230602 6.83 512267 43907 8.57 726799.9
21 Iowa 1063681 227179 21.36 135422 76925 56.80 337133.9
22 Colorado 3143227 225283 7.17 966136 97316 10.07 545818.9
23 Massachusetts 8322705 222469 2.67 1682751 52893 3.14 1197597.1
24 South Carolina 2370233 214911 9.07 425305 30169 7.09 460354.4
25 Maryland 4363150 194448 4.46 738957 41533 5.62 721697.2
26 Oklahoma 2067292 193824 9.38 364220 62073 17.04 522443.0
27 Utah 1808085 192087 10.62 327548 61852 18.88 563976.5
28 Kentucky 2548528 174182 6.83 501564 54521 10.87 570437.4
29 Washington 2894367 160634 5.55 326110 44623 13.68 380092.9
30 Kansas 812424 155500 19.14 136104 55728 40.95 278865.9
31 Arkansas 1655994 155026 9.36 237501 34198 14.40 548737.6
32 Mississippi 1097212 149940 13.67 134119 24055 17.94 368668.4
33 Nevada 1622816 149229 9.20 296438 40483 13.66 526861.6
34 Nebraska 1339345 125323 9.36 317499 42928 13.52 692379.8
35 Connecticut 3154617 112581 3.57 720143 34456 4.78 884814.3
36 Idaho 468895 99660 21.25 65807 27348 41.56 261650.7
37 New Mexico 1536202 93982 6.12 297627 40311 13.54 732631.0
38 South Dakota 325376 79099 24.31 50693 25123 49.56 367798.2
39 North Dakota 1072080 77935 7.27 177696 24731 13.92 1406814.7
40 Oregon 1033150 72506 7.02 130051 22919 17.62 244953.6
41 Montana 645393 60845 9.43 120217 21897 18.21 603860.7
42 Rhode Island 1519021 53954 3.55 301105 17574 5.84 1433903.1
44 West Virginia 1115015 45845 4.11 277311 18236 6.58 623907.8
45 Delaware 720190 34670 4.81 137909 8412 6.10 739594.0
46 Wyoming 393376 31928 8.12 253010 15331 6.06 679688.8
47 Alaska 999054 31444 3.15 251766 12138 4.82 1365676.8
48 District of Columbia 685338 21038 3.07 134753 3147 2.34 971078.9
49 New Hampshire 785563 20025 2.55 127968 7784 6.08 577742.6
50 Hawaii 659720 18082 2.74 103624 2263 2.18 465946.1
51 Maine 841351 11288 1.34 165127 3688 2.23 625906.5
52 Vermont 547492 4033 0.74 113151 1686 1.49 877406.5

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4027257 402659 4615 1.16 10.00 7616 919 130315 21512 5.34
Piemonte 1532290 164310 2157 1.33 10.72 4781 384 76077 6070 3.69
Campania 1552810 151671 2729 1.83 9.77 2164 186 104383 1595 1.05
Veneto 2769213 140972 3498 2.54 5.09 2654 309 78572 3644 2.58
Emilia-Romagna 2096063 119184 2172 1.86 5.69 2673 245 69783 5684 4.77
Lazio 2171386 116198 2070 1.81 5.35 3352 356 89262 2309 1.99
Toscana 1543449 101640 1196 1.19 6.59 1593 279 45072 2563 2.52
Sicilia 942356 61524 1189 1.97 6.53 1519 247 39882 1461 2.37
Puglia 772079 52311 1573 3.10 6.78 1675 200 37654 1432 2.74
Liguria 594426 51011 454 0.90 8.58 968 117 12725 2361 4.63
Friuli Venezia Giulia 709897 29395 1432 5.12 4.14 604 53 13996 801 2.72
Marche 406233 29036 473 1.66 7.15 571 85 17243 1242 4.28
Abruzzo 403356 27056 532 2.01 6.71 680 77 17762 879 3.25
Umbria 412818 23430 348 1.51 5.68 351 64 8653 389 1.66
P.A. Bolzano 306915 23157 494 2.18 7.55 409 36 11558 523 2.26
Sardegna 367115 20730 311 1.52 5.65 544 73 13119 432 2.08
Calabria 359952 16150 426 2.71 4.49 410 42 10984 272 1.68
P.A. Trento 371382 15292 219 1.45 4.12 404 42 2133 629 4.11
Basilicata 149586 7878 215 2.81 5.27 142 22 6073 142 1.80
Valle d’Aosta 59088 6416 72 1.13 10.86 130 14 1465 310 4.83
Molise 89970 4512 148 3.39 5.02 59 12 2597 113 2.50

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 139643 1480 1.07 7021 37 0.53 5.03 16356.09 822.36 1 in 61
Ontario 116517 1768 1.54 3640 24 0.66 3.12 7919.95 247.42 1 in 126
Alberta 54836 1731 3.26 524 5 0.96 0.96 12425.60 118.74 1 in 80
British Columbia 30884 0 0.00 395 0 0.00 1.28 6042.75 77.29 1 in 165
Manitoba 16118 486 3.11 290 10 3.57 1.80 11700.76 210.52 1 in 85
Saskatchewan 7888 197 2.56 45 1 2.27 0.57 6675.32 38.08 1 in 150
Nova Scotia 1257 0 0.00 65 0 0.00 5.17 1285.99 66.50 1 in 778
New Brunswick 481 4 0.84 7 0 0.00 1.46 616.67 8.97 1 in 1622
Newfoundland and Labrador 333 2 0.60 4 0 0.00 1.20 638.71 7.67 1 in 1566
Nunavut 164 5 3.14 0 0 NaN 0.00 NA NA 1 in NA
Prince Edward Island 72 2 2.86 0 0 NaN 0.00 455.24 0.00 1 in 2197
Yukon 45 0 0.00 1 0 0.00 2.22 1095.48 24.34 1 in 913
Northwest Territories 15 0 0.00 0 0 NaN 0.00 334.05 0.00 1 in 2994
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 40478.05 813.10 1 in 25
India 7014.88 102.09 1 in 143
Brazil 30053.86 824.47 1 in 33
France 33748.16 779.40 1 in 30
Russia 15387.54 267.65 1 in 65
Spain 34895.16 957.31 1 in 29
United Kingdom 24219.46 874.88 1 in 41
Italy 25868.58 898.86 1 in 39
Argentina 31926.25 865.64 1 in 31
Colombia 26484.88 741.82 1 in 38
Mexico 8524.79 816.25 1 in 117
Germany 12712.82 195.45 1 in 79
Poland 25634.36 440.92 1 in 39
Peru 29852.91 1115.29 1 in 33
Iran 11530.30 585.09 1 in 87
South Africa 13842.37 377.98 1 in 72
Ukraine NA NA 1 in NA
Turkey 7156.87 165.49 1 in 140
Belgium 50390.18 1443.95 1 in 20
Chile 30412.24 848.86 1 in 33

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 390891 7623 1.95
Cook Illinois 301582 6568 2.18
Miami-Dade Florida 225632 3823 1.69
Maricopa Arizona 203663 3974 1.95
Harris Texas 187932 3001 1.60
Dallas Texas 134793 1559 1.16
Clark Nevada 114691 1751 1.53
Broward Florida 105877 1652 1.56
Tarrant Texas 95989 1026 1.07
San Bernardino California 92164 1129 1.22
Queens New York 89047 7354 8.26
Kings New York 87979 7502 8.53
Riverside California 85769 1437 1.68
El Paso Texas 85318 1068 1.25
San Diego California 80018 997 1.25
Salt Lake Utah 79227 400 0.50
Bexar Texas 78411 1494 1.91
Orange California 76761 1577 2.05
Milwaukee Wisconsin 71771 745 1.04
Philadelphia Pennsylvania 65484 1971 3.01
Palm Beach Florida 64670 1678 2.59
Hennepin Minnesota 64142 1113 1.74
Wayne Michigan 63606 3214 5.05
Bronx New York 63149 5027 7.96
Suffolk New York 59810 2047 3.42
Nassau New York 59700 2251 3.77
Hillsborough Florida 57728 923 1.60
Orange Florida 57321 645 1.13
Franklin Ohio 53293 672 1.26
St. Louis Missouri 50729 976 1.92
Westchester New York 49646 1514 3.05
Utah Utah 48066 129 0.27
Shelby Tennessee 47682 658 1.38
Oakland Michigan 45701 1358 2.97
Middlesex Massachusetts 45363 2409 5.31
Marion Indiana 44793 862 1.92
DuPage Illinois 44656 786 1.76
New York New York 44602 3225 7.23
King Washington 43304 866 2.00
Duval Florida 43241 591 1.37
Mecklenburg North Carolina 42933 445 1.04
Hidalgo Texas 42844 2050 4.78
Davidson Tennessee 42703 420 0.98
Prince George’s Maryland 40797 925 2.27
Kern California 40632 448 1.10
Fulton Georgia 40486 699 1.73
Cuyahoga Ohio 39654 745 1.88
Douglas Nebraska 39555 296 0.75
Oklahoma Oklahoma 39512 290 0.73
Gwinnett Georgia 39510 525 1.33
Pima Arizona 39298 690 1.76
Will Illinois 38291 563 1.47
Fresno California 37994 481 1.27
Travis Texas 37898 483 1.27
Fairfield Connecticut 37071 1491 4.02
Lake Illinois 36845 631 1.71
Macomb Michigan 36580 1267 3.46
Sacramento California 36579 566 1.55
Suffolk Massachusetts 36516 1239 3.39
Jefferson Kentucky 36419 444 1.22
Providence Rhode Island 35980 1028 2.86
Denver Colorado 35906 522 1.45
Essex New Jersey 34632 2227 6.43
Essex Massachusetts 34124 1447 4.24
Bergen New Jersey 34083 2121 6.22
Santa Clara California 33732 476 1.41
Polk Iowa 33451 334 1.00
Tulsa Oklahoma 32961 265 0.80
Montgomery Maryland 32790 947 2.89
Pinellas Florida 32630 895 2.74
Kent Michigan 32582 344 1.06
Jefferson Alabama 32314 500 1.55
Hamilton Ohio 32049 372 1.16
Lubbock Texas 31499 351 1.11
Kane Illinois 31493 466 1.48
Hudson New Jersey 30928 1572 5.08
Fairfax Virginia 30450 623 2.05
Cobb Georgia 29833 506 1.70
Middlesex New Jersey 29817 1486 4.98
Lee Florida 29613 574 1.94
Passaic New Jersey 29281 1311 4.48
Alameda California 29116 511 1.76
Adams Colorado 28784 331 1.15
Baltimore Maryland 28752 731 2.54
Lake Indiana 28485 466 1.64
Wake North Carolina 28247 289 1.02
New Haven Connecticut 27925 1238 4.43
Hartford Connecticut 27844 1595 5.73
Union New Jersey 27803 1433 5.15
Waukesha Wisconsin 27726 205 0.74
Dane Wisconsin 27619 83 0.30
Allegheny Pennsylvania 27484 501 1.82
DeKalb Georgia 27465 456 1.66
Polk Florida 27300 673 2.47
Ramsey Minnesota 27059 502 1.86
Sedgwick Kansas 27049 150 0.55
Johnson Kansas 26731 285 1.07
Arapahoe Colorado 26391 438 1.66
El Paso Colorado 26026 266 1.02
Cameron Texas 25855 1108 4.29

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc